Enroll Course: https://www.udemy.com/course/learn-object-detection-counting-tracking-with-dl-ml/
If you’re interested in diving into the fascinating world of computer vision, the Udemy course ‘Learn Object Detection, Tracking and Counting with DL, ML’ is an excellent starting point. This comprehensive course takes you through the essentials of object detection, counting, and tracking, making it suitable for beginners and professionals alike.
The course begins with a solid introduction to the concepts of object detection, counting, and tracking, setting a strong foundation for further learning. One of the highlights is its step-by-step guidance on installing all necessary prerequisites on a Mac machine, ensuring your environment is perfectly set up for coding.
Throughout the course, you’ll learn how to write and execute code for various tasks using powerful libraries like dlib and OpenCV. You’ll get hands-on experience in detecting objects through deep learning, performing cumulative counting in videos, and implementing real-time object counting. The course also covers advanced topics such as targeted object detection, multi-object detection, color prediction, and speed estimation of objects.
A particularly valuable feature is the focus on exporting results in CSV files, making it easier to analyze and interpret your data. The practical approach, supported by code demonstrations, ensures you gain real-world skills applicable to projects in surveillance, traffic monitoring, retail analytics, and more.
I highly recommend this course if you’re looking to enhance your computer vision skills with practical coding experience. It’s a great investment for aspiring data scientists, AI enthusiasts, and developers eager to harness the power of deep learning for object detection and tracking.
Enroll Course: https://www.udemy.com/course/learn-object-detection-counting-tracking-with-dl-ml/